Triple
T11827032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaya district |
E281283
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tikari
Tikari is a town in the Indian state of Bihar, known historically as a local administrative and cultural center in the Gaya region.
|
E948575
|
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: Tikari | Statement: [Gaya district, contains, Tikari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tikari Context triple: [Gaya district, contains, Tikari]
-
A.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
B.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
C.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
D.
Tiglutik
Tiglutik is an oral suspension formulation of the ALS medication riluzole, designed to help slow disease progression in patients with amyotrophic lateral sclerosis.
-
E.
Tarkani
Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
- 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: Tikari Triple: [Gaya district, contains, Tikari]
Generated description
Tikari is a town in the Indian state of Bihar, known historically as a local administrative and cultural center in the Gaya region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tikari Target entity description: Tikari is a town in the Indian state of Bihar, known historically as a local administrative and cultural center in the Gaya region.
-
A.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
B.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
C.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
D.
Tiglutik
Tiglutik is an oral suspension formulation of the ALS medication riluzole, designed to help slow disease progression in patients with amyotrophic lateral sclerosis.
-
E.
Tarkani
Tarkani is a Pashtun tribal group traditionally associated with the Bajaur region along the Afghanistan–Pakistan border.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ec3a148190bb184ba0d481b16a |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f132062b108190ad33656c386ee603 |
completed | April 28, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_69f14e8ada3481908ec456c41827160c |
completed | April 29, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1571e4ba08190824db812ffc5f35a |
completed | April 29, 2026, 12:55 a.m. |
Created at: April 8, 2026, 9:43 p.m.