Triple
T11103483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manatuto Municipality |
E262567
|
entity |
| Predicate | hasAdministrativePost |
P88005
|
FINISHED |
| Object |
Natarbora Administrative Post
Natarbora Administrative Post is a local administrative division in the central coastal region of East Timor, within Manatuto Municipality.
|
E904794
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Natarbora Administrative Post | Statement: [Manatuto Municipality, hasAdministrativePost, Natarbora Administrative Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natarbora Administrative Post Context triple: [Manatuto Municipality, hasAdministrativePost, Natarbora Administrative Post]
-
A.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
B.
Basopatti
Basopatti is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Naharkatia
Naharkatia is a prominent town in Assam, India, known historically for its tea gardens and oil fields.
-
D.
Nandgaon
Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
-
E.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Natarbora Administrative Post Triple: [Manatuto Municipality, hasAdministrativePost, Natarbora Administrative Post]
Generated description
Natarbora Administrative Post is a local administrative division in the central coastal region of East Timor, within Manatuto Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natarbora Administrative Post Target entity description: Natarbora Administrative Post is a local administrative division in the central coastal region of East Timor, within Manatuto Municipality.
-
A.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
B.
Basopatti
Basopatti is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Naharkatia
Naharkatia is a prominent town in Assam, India, known historically for its tea gardens and oil fields.
-
D.
Nandgaon
Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
-
E.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a2d33948190ac29d174694a78e5 |
completed | April 9, 2026, 12:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7ff368c8190ab01b7538ad83826 |
completed | April 18, 2026, 8:22 p.m. |
| NEDg | Description generation | batch_69e3f2cc9b7c8190bb5fd89f239917cf |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f4a37b6c81908ca63270d82579ae |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.