Triple
T12428606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toledo District |
E296963
|
entity |
| Predicate | containsArchaeologicalSite |
P11933
|
FINISHED |
| Object |
Nim Li Punit
Nim Li Punit is a Maya archaeological site in southern Belize known for its carved stelae and hilltop ceremonial structures.
|
E981996
|
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: Nim Li Punit | Statement: [Toledo District, containsArchaeologicalSite, Nim Li Punit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nim Li Punit Context triple: [Toledo District, containsArchaeologicalSite, Nim Li Punit]
-
A.
Nimadi
Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
-
B.
Nimmu
Nimmu is a small village in the Leh district of Ladakh, India, known as a scenic stop on the Srinagar–Leh highway and a popular rafting and sightseeing point near the confluence of the Indus and Zanskar rivers.
-
C.
Naililili
Naililili is a small town in Fiji’s Rewa Province, known for its historic Catholic mission and riverside setting.
-
D.
Nimaathap
Nimaathap was an ancient Egyptian queen of the late 2nd Dynasty, likely a royal consort and mother of early 3rd Dynasty kings.
-
E.
Nanikai
Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
- 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: Nim Li Punit Triple: [Toledo District, containsArchaeologicalSite, Nim Li Punit]
Generated description
Nim Li Punit is a Maya archaeological site in southern Belize known for its carved stelae and hilltop ceremonial structures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nim Li Punit Target entity description: Nim Li Punit is a Maya archaeological site in southern Belize known for its carved stelae and hilltop ceremonial structures.
-
A.
Nimadi
Nimadi is an Indo-Aryan language spoken primarily in the Nimar region of Madhya Pradesh in central India.
-
B.
Nimmu
Nimmu is a small village in the Leh district of Ladakh, India, known as a scenic stop on the Srinagar–Leh highway and a popular rafting and sightseeing point near the confluence of the Indus and Zanskar rivers.
-
C.
Naililili
Naililili is a small town in Fiji’s Rewa Province, known for its historic Catholic mission and riverside setting.
-
D.
Nimaathap
Nimaathap was an ancient Egyptian queen of the late 2nd Dynasty, likely a royal consort and mother of early 3rd Dynasty kings.
-
E.
Nanikai
Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ddc688190bddb242d67fa6e89 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349b075c8190b77cd51bc45be8ef |
completed | May 2, 2026, 5:30 p.m. |
| NEDg | Description generation | batch_69f636cf7d808190bf3c1c84bdaf414e |
completed | May 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:55 p.m.