Triple
T14876060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khairatabad |
E349869
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Lakdi ka Pul
Lakdi ka Pul is a prominent locality and road junction in central Hyderabad, India, known for its connectivity and commercial activity.
|
E1127746
|
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: Lakdi ka Pul | Statement: [Khairatabad, near, Lakdi ka Pul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakdi ka Pul Context triple: [Khairatabad, near, Lakdi ka Pul]
-
A.
Lakamadi
Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
-
B.
Pukar
Pukar is a 2000 Indian Hindi-language patriotic action drama film directed by Rajkumar Santoshi and produced by Boney Kapoor, starring Anil Kapoor and Madhuri Dixit.
-
C.
Kalampaka
Kalampaka is a town in central Greece best known as the gateway to the Meteora monasteries, a UNESCO World Heritage site built atop towering rock pillars.
-
D.
Lakalai
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
-
E.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
- 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: Lakdi ka Pul Triple: [Khairatabad, near, Lakdi ka Pul]
Generated description
Lakdi ka Pul is a prominent locality and road junction in central Hyderabad, India, known for its connectivity and commercial activity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lakdi ka Pul Target entity description: Lakdi ka Pul is a prominent locality and road junction in central Hyderabad, India, known for its connectivity and commercial activity.
-
A.
Lakamadi
Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
-
B.
Pukar
Pukar is a 2000 Indian Hindi-language patriotic action drama film directed by Rajkumar Santoshi and produced by Boney Kapoor, starring Anil Kapoor and Madhuri Dixit.
-
C.
Kalampaka
Kalampaka is a town in central Greece best known as the gateway to the Meteora monasteries, a UNESCO World Heritage site built atop towering rock pillars.
-
D.
Lakalai
Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
-
E.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aad76c8190b024651483d8f9ff |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe7b078d0c8190ba80b6e96975fd6c |
completed | May 9, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7b26519c8190ba81d997e11a999f |
completed | May 9, 2026, 12:09 a.m. |
Created at: April 10, 2026, 1:55 a.m.